Evaluation of MOPITT Version 7 joint TIR-NIR XCO retrievals with TCCON

被引：23

作者：

Hedelius, Jacob K. ^{[1
]}

He, Tai-Long ^{[1
]}

Jones, Dylan B. A. ^{[1
]}

Baier, Bianca C. ^{[21
,22
]}

Buchholz, Rebecca R. ^{[2
]}

De Maziere, Martine ^{[3
]}

Deutscher, Nicholas M. ^{[4
]}

Dubey, Manvendra K. ^{[5
]}

Feist, Dietrich G. ^{[6
,7
,26
]}

Griffith, David W. T. ^{[4
]}

Hase, Frank ^{[8
]}

Iraci, Laura T. ^{[9
]}

Jeseck, Pascal ^{[10
]}

Kiel, Matthaus ^{[11
,12
]}

Kivi, Rigel ^{[13
]}

Liu, Cheng ^{[14
]}

Morino, Isamu ^{[15
]}

Notholt, Justus ^{[16
]}

Oh, Young-Suk ^{[17
]}

Ohyama, Hirofumi ^{[15
]}

Pollard, David F. ^{[18
]}

Rettinger, Markus ^{[19
]}

Roche, Sebastien ^{[1
]}

Roehl, Coleen M. ^{[11
]}

Schneider, Matthias ^{[8
]}

Shiomi, Kei ^{[20
]}

Strong, Kimberly ^{[1
]}

Sussmann, Ralf ^{[19
]}

Sweeney, Colm ^{[21
,22
]}

Te, Yao ^{[10
]}

Uchino, Osamu ^{[14
]}

Velazco, Voltaire A. ^{[4
,23
]}

Wang, Wei ^{[24
]}

Warneke, Thorsten ^{[15
]}

Wennberg, Paul O. ^{[11
,25
]}

Worden, Helen M. ^{[2
]}

Wunch, Debra ^{[1
]}

机构：

[1] Univ Toronto, Dept Phys, Toronto, ON, Canada

[2] Natl Ctr Atmospher Res, Atmospher Chem Observat & Modeling, POB 3000, Boulder, CO 80307 USA

[3] Royal Belgian Inst Space Aeron BIRA IASB, B-1180 Brussels, Belgium

[4] Univ Wollongong, Sch Earth Atmospher & Life Sci, Ctr Atmospher Chem, Northfields Ave, Wollongong, NSW 2522, Australia

[5] Los Alamos Natl Lab, Earth & Environm Sci, Los Alamos, NM USA

[6] Deutsch Zentrum Luft & Raumfahrt, Inst Phys Atmosphare, Oberpfaffenhofen, Germany

[7] Max Planck Inst Biogeochem, Jena, Germany

[8] Karlsruhe Inst Technol, Inst Meteorol & Climate Res IMK ASF, Karlsruhe, Germany

[9] NASA, Ames Res Ctr, Mountain View, CA USA

[10] PSL Univ, Sorbonne Univ, LERMA IPSL, CNRS,Observ Paris, F-75005 Paris, France

[11] CALTECH, Div Geol & Planetary Sci, Pasadena, CA 91125 USA

[12] CALTECH, Jet Prop Lab, Pasadena, CA USA

[13] Finnish Meteorol Inst, Sodankyla, Finland

[14] Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Anhui, Peoples R China

[15] NIES, Tsukuba, Ibaraki, Japan

[16] Univ Bremen, Inst Environm Phys, Bremen, Germany

[17] Natl Inst Meteorol Sci, 33,Seohobuk Ro, Seogwipo Si 63568, Jeju Do, South Korea

[18] Natl Inst Water & Atmospher Res, Lauder, New Zealand

[19] KIT, Inst Meteorol & Climate Res IMK IFU, Garmisch Partenkirchen, Germany

[20] Japan Aerosp Explorat Agcy, 2-1-1 Sengen, Tsukuba, Ibaraki, Japan

[21] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA

[22] NOAA, Earth Syst Res Lab, Boulder, CO USA

[23] Oscar M Lopez Ctr Climate Change Adaptat & Disast, Pasig, Philippines

[24] Chinese Acad Sci, Key Lab Environm Opt & Technol, Anhui Inst Opt & Fine Mech, Hefei 230031, Anhui, Peoples R China

[25] CALTECH, Div Engn & Appl Sci, Pasadena, CA 91125 USA

[26] Ludwig Maximilians Univ Munchen, Lehrstuhl Phys Atmosphare, Munich, Germany

来源：

ATMOSPHERIC MEASUREMENT TECHNIQUES | 2019年 / 12卷 / 10期

基金：

澳大利亚研究理事会;

关键词：

CARBON-MONOXIDE; PROFILE RETRIEVALS; HIGH-RESOLUTION; ACOS-GOSAT; COLUMN CO2; SATELLITE; BIAS; VALIDATION; EMISSIONS; AIRCORE;

D O I：

10.5194/amt-12-5547-2019

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

Observations of carbon monoxide (CO) from the Measurements Of Pollution In The Troposphere (MOPITT) instrument aboard the Terra spacecraft were expected to have an accuracy of 10% prior to the launch in 1999. Here we evaluate MOPITT Version 7 joint (V7J) thermal-infrared and near-infrared (TIR-NIR) retrieval accuracy and precision and suggest ways to further improve the accuracy of the observations. We take five steps involving filtering or bias corrections to reduce scatter and bias in the data relative to other MOPITT soundings and ground-based measurements. (1) We apply a preliminary filtering scheme in which measurements over snow and ice are removed. (2) We find a systematic pairwise bias among the four MOPITT alongtrack detectors (pixels) on the order of 3-4 ppb with a small temporal trend, which we remove on a global scale using a temporally trended bias correction. (3) Using a small-region approximation (SRA), a new filtering scheme is developed and applied based on additional quality indicators such as the signal-to-noise ratio (SNR). After applying these new filters, the root-mean-squared error computed using the local median from the SRA over 16 years of global observations decreases from 3.84 to 2.55 ppb. (4) We also use the SRA to find variability in MOPITT retrieval anomalies that relates to retrieval parameters. We apply a bias correction to one parameter from this analysis. (5) After applying the previous bias corrections and filtering, we compare the MOPITT results with the GGG2014 ground-based Total Carbon Column Observing Network (TCCON) observations to obtain an overall global bias correction. These comparisons show that MOPITT V7J is biased high by about 6 %-8 %, which is similar to past studies using independent validation datasets on V6J. When using TCCON spectrometric column retrievals without the standard airmass correction or scaling to aircraft (WMO scale), the ground- and satellite-based observations overall agree to better than 0.5 %. GEOS-Chem data assimilations are used to estimate the influence of filtering and scaling to TCCON on global CO and tend to pull concentrations away from the prior fluxes and closer to the truth. We conclude with suggestions for further improving the MOPITT data products.

引用

页码：5547 / 5572

页数：26

共 65 条

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